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We have also tested the effect of considering a smaller number of populations to determine whether the approaches can provide reasonable estimates when applied to data that have been obtained in studies involving experimental evolution with fewer replicates.
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And finally, we examine the effect of considering an alternative spatial configuration that includes border and "interior" regions.
Specifically we modelled: (1) a confirmatory analysis of the main effect of puberty without considering an effect of age; (2) an analysis of the main effect of age without considering pubertal group; and (3) an analysis of the main and interaction effects of age and puberty, taking into account their shared variance.
Another critical reason is the difficulty associated with, and the limiting effects of, considering CRN as an heterogeneous network.
We devised a model to explain this paradoxical effect of reward by considering a new factor: the cost of control.
The mechanism of this effect is unknown, but considering a strong effect of splicing on mRNA stability we can hypothesize that it may be mediated by methyl CpG-binding proteins that regulate splicing.
Accurate prediction of the Bauschinger effect is considered a litmus test for the validity of strengthening theories.
It is quite understandable that different patients have different perceptions of what magnitude of effect they consider an important change, perhaps also depending upon the treatment administered.
Third, the lack of pre-post measures as evidence of effect can be considered a major drawback, disguising a possibility of unsuccessful therapeutic work.
Throughout, the effect of time is considered a fixed effect (to account for systematic differences between weeks and to obtain estimates for each separate week).
We therefore estimate the sample size to be able to detect a standardised effect size of 0.5, considered a medium effect size.
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